Learn R from Edx

Edx offers you 60 courses, to learn R now!

Edx, is a massive open online course (MOOC) provider. It hosts online university-level courses in a wide range of disciplines to a worldwide student body, including some courses at no charge. It also conducts research into learning based on how people use its platform. EdX is a nonprofit organization and runs on the free Open edX open-source software platform.The Massachusetts Institute of Technology and Harvard University created edX in May 2012. More than 140 schools, nonprofit organizations, and corporations offer or plan to offer courses on the edX website. As of 29 December 2018, edX has around 18 million students taking more than 2,200 courses online. - read more on Wikipedia

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Introduction to Bioconductor

We learn how to use Bioconductor^ one of the most widely used&nbsp,open source toolkits for biological data. Two tracks will be available:&nbsp,Next generation sequencing, Microarrays. <p>&nbsp,</p>

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Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays

The structure^ annotation^ normalization^ and interpretation of genome scale assays.

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Statistical Inference and Modeling for High-throughput Experiments

A focus on the techniques commonly used to perform statistical inference on high throughput data.

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Big Data Analytics

<p>Learn key technologies and techniques^ including R and Apache Spark^ to analyse large-scale data sets to uncover valuable business information.</p>

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Biostatistics for Big Data Applications

Learn data analysis basics for working with biomedical big data with practical hands-on examples using R.

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Creating Programmatic SQL Database Objects

Learn how to add functionality to your database with programmatic database objects using the R programming language.

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Data Science: Linear Regression

Learn how to use R to implement linear regression^ one of the most common statistical modeling approaches in data science.

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FA18: Statistical Modeling and Regression Analysis

<p>An introduction to commonly used linear regression models along with detailed implementation of the models within real data examples using the R statistical software.</p>

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FA18: Time Series Analysis

An introduction to commonly used time series models along with detailed implementation of the models within real data examples using the R statistical software.

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FA19: Statistical Modeling and Regression Analysis

<p>An introduction to commonly used linear regression models along with detailed implementation of the models within real data examples using the R statistical software.</p>

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FA19: Time Series Analysis

An introduction to commonly used time series models along with detailed implementation of the models within real data examples using the R statistical software.

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Foundations of Data Analysis - Part 2: Inferential Statistics

Use R to learn the fundamental statistical topic of basic inferential statistics.

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